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Multi-Objective Optimization: Evolutionary to Hybrid Framework

Name: Multi-Objective Optimization: Evolutionary to Hybrid Framework
ISBN: 9789811314711

Jyotsna K. Mandal, Somnath Mukhopadhyay, Paramartha Dutta

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This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms.

The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.

Κατηγορίες:

Computers - Computer Science

Έτος:

2018

Έκδοση:

1st ed.

Εκδότης:

Springer Singapore

Γλώσσα:

english

ISBN 10:

9811314713